Research Scientist Intern, World-Model Aware Perception & Communication (PhD)

Meta • Redmond, WA

2d • $7,650 - $12,667

About The Position

The Surreal group within Meta Reality Labs Research is seeking PhD students interested in novel computational and communications systems. The team conducts cutting-edge research toward foundational technologies for Meta’s future contextual AI. Interns will develop semantic compression and communication systems and components, advancing end-to-end approaches across compression, communications, and machine learning pipelines, including sensor capture, wireless transmission, latent representation, and neural encoding and decoding. They will rapidly design, develop, prototype, execute, and analyze systems for contextual AI on future devices, collaborating with researchers across disciplines. Internships last 12 to 16 weeks or 24 weeks, with various start dates throughout the year.

Requirements

• Currently have or be in the process of obtaining a PhD in Computer Science, Electrical Engineering, Computer Vision, Machine Learning, or a related field.
• Demonstrated research experience in Compression, Communications, Computer Vision, Digital Twin, World Model, or Machine Learning.
• At least 2 years of experience using Python or C++ for Machine Learning and Computer Vision.
• Obtain work authorization in the country of employment by the time of hire and maintain work authorization during employment.

Nice To Haves

• Broad understanding of communications theory and systems, including conventional modulation, coding, and beamforming, as well as digital twin and neural-network-based approaches.
• Good understanding of end-to-end semantic communication systems, including source coding, semantic feature extraction, channel coding, neural-network-based end-to-end approaches, wireless digital twins, or world models.
• A record of significant results demonstrated through grants, fellowships, patents, or publications at leading workshops, conferences, or journals.
• Experience with software, end-to-end system models, or communication systems through an internship, work experience, coding competitions, or widely used open-source contributions such as GitHub projects.
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
• Experience working and communicating cross-functionally in a team environment.
• Intent to return to a degree program after completing the internship or co-op.

Responsibilities

• Create novel semantic compression and communication systems and components that combine algorithms and machine learning to achieve efficiency and high performance.
• Advance the state of the art in end-to-end approaches across compression, communications, and machine learning pipelines, including sensor capture, wireless transmission, latent representation, and neural encoding and decoding.
• Design, develop, prototype, execute, and analyze systems and components for contextual AI systems for future devices.
• Collaborate with researchers across disciplines in a cross-functional and interdisciplinary team.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: Ph.D. or professional degree